<script>
/** 
 * 盒子
 *  */
import { 
    defineComponent,ref,getCurrentInstance,reactive,toRef, computed,onMounted,onActivated,watch,
} from "vue";
import EchartContainer from "@/components/EchartContainer.vue";
import * as echarts from 'echarts';
import { geoJson } from '../common/map.js';
import { cityIconData } from '../common/data.js'

export default defineComponent({
    components:{
        EchartContainer,
    },
    props:{
        dataInfo:{
            type:Object,
            default:()=>{
                return {};
            },
        },
    },
    setup(props){
        const EchartContainerRef = ref();  //组件实例
        const dataContainer = reactive({
            loading:false,
        });
        watch([
            toRef(props,'dataInfo'),
        ],()=>{
            return;
            let dataInfo = props.dataInfo.data || []; 
        },{
            immediate:true,
        });
        onMounted(()=>{
            if(!EchartContainerRef.value) return;
                echarts.registerMap('china', geoJson);
                var geoCoordMap = {
                    '上海': [121.4648, 31.2891],
                    '东莞': [113.8953, 22.901],
                    '东营': [118.7073, 37.5513],
                    '中山': [113.4229, 22.478],
                    '临汾': [111.4783, 36.1615],
                    '临沂': [118.3118, 35.2936],
                    '丹东': [124.541, 40.4242],
                    '丽水': [119.5642, 28.1854],
                    '乌鲁木齐': [87.9236, 43.5883],
                    '佛山': [112.8955, 23.1097],
                    '保定': [115.0488, 39.0948],
                    '兰州': [103.5901, 36.3043],
                    '包头': [110.3467, 41.4899],
                    '北京': [116.4551, 40.2539],
                    '北海': [109.314, 21.6211],
                    '南京': [118.8062, 31.9208],
                    '南宁': [108.479, 23.1152],
                    '南昌': [116.0046, 28.6633],
                    '南通': [121.1023, 32.1625],
                    '厦门': [118.1689, 24.6478],
                    '台州': [121.1353, 28.6688],
                    '合肥': [117.29, 32.0581],
                    '呼和浩特': [111.4124, 40.4901],
                    '咸阳': [108.4131, 34.8706],
                    '哈尔滨': [127.9688, 45.368],
                    '唐山': [118.4766, 39.6826],
                    '嘉兴': [120.9155, 30.6354],
                    '大同': [113.7854, 39.8035],
                    '大连': [122.2229, 39.4409],
                    '天津': [117.4219, 39.4189],
                    '太原': [112.3352, 37.9413],
                    '威海': [121.9482, 37.1393],
                    '宁波': [121.5967, 29.6466],
                    '宝鸡': [107.1826, 34.3433],
                    '宿迁': [118.5535, 33.7775],
                    '常州': [119.4543, 31.5582],
                    '广州': [113.5107, 23.2196],
                    '廊坊': [116.521, 39.0509],
                    '延安': [109.1052, 36.4252],
                    '张家口': [115.1477, 40.8527],
                    '徐州': [117.5208, 34.3268],
                    '德州': [116.6858, 37.2107],
                    '惠州': [114.6204, 23.1647],
                    '成都': [103.9526, 30.7617],
                    '扬州': [119.4653, 32.8162],
                    '承德': [117.5757, 41.4075],
                    '拉萨': [91.1865, 30.1465],
                    '无锡': [120.3442, 31.5527],
                    '日照': [119.2786, 35.5023],
                    '昆明': [102.9199, 25.4663],
                    '杭州': [119.5313, 29.8773],
                    '枣庄': [117.323, 34.8926],
                    '柳州': [109.3799, 24.9774],
                    '株洲': [113.5327, 27.0319],
                    '武汉': [114.3896, 30.6628],
                    '汕头': [117.1692, 23.3405],
                    '江门': [112.6318, 22.1484],
                    '沈阳': [123.1238, 42.1216],
                    '沧州': [116.8286, 38.2104],
                    '河源': [114.917, 23.9722],
                    '泉州': [118.3228, 25.1147],
                    '泰安': [117.0264, 36.0516],
                    '泰州': [120.0586, 32.5525],
                    '济南': [117.1582, 36.8701],
                    '济宁': [116.8286, 35.3375],
                    '海口': [110.3893, 19.8516],
                    '淄博': [118.0371, 36.6064],
                    '淮安': [118.927, 33.4039],
                    '深圳': [114.5435, 22.5439],
                    '清远': [112.9175, 24.3292],
                    '温州': [120.498, 27.8119],
                    '渭南': [109.7864, 35.0299],
                    '湖州': [119.8608, 30.7782],
                    '湘潭': [112.5439, 27.7075],
                    '滨州': [117.8174, 37.4963],
                    '潍坊': [119.0918, 36.524],
                    '烟台': [120.7397, 37.5128],
                    '玉溪': [101.9312, 23.8898],
                    '珠海': [113.7305, 22.1155],
                    '盐城': [120.2234, 33.5577],
                    '盘锦': [121.9482, 41.0449],
                    '石家庄': [114.4995, 38.1006],
                    '福州': [119.4543, 25.9222],
                    '秦皇岛': [119.2126, 40.0232],
                    '绍兴': [120.564, 29.7565],
                    '聊城': [115.9167, 36.4032],
                    '肇庆': [112.1265, 23.5822],
                    '舟山': [122.2559, 30.2234],
                    '苏州': [120.6519, 31.3989],
                    '莱芜': [117.6526, 36.2714],
                    '菏泽': [115.6201, 35.2057],
                    '营口': [122.4316, 40.4297],
                    '葫芦岛': [120.1575, 40.578],
                    '衡水': [115.8838, 37.7161],
                    '衢州': [118.6853, 28.8666],
                    '西宁': [101.4038, 36.8207],
                    '西安': [109.1162, 34.2004],
                    '贵阳': [106.6992, 26.7682],
                    '连云港': [119.1248, 34.552],
                    '邢台': [114.8071, 37.2821],
                    '邯郸': [114.4775, 36.535],
                    '郑州': [113.4668, 34.6234],
                    '鄂尔多斯': [108.9734, 39.2487],
                    '重庆': [107.7539, 30.1904],
                    '金华': [120.0037, 29.1028],
                    '铜川': [109.0393, 35.1947],
                    '银川': [106.3586, 38.1775],
                    '镇江': [119.4763, 31.9702],
                    '长春': [125.8154, 44.2584],
                    '长沙': [113.0823, 28.2568],
                    '长治': [112.8625, 36.4746],
                    '阳泉': [113.4778, 38.0951],
                    '青岛': [120.4651, 36.3373],
                    '韶关': [113.7964, 24.7028]
                };
                var dataT = [{
                        name: '上海',
                        value: 95
                    },
                    {
                        name: '广州',
                        value: 90
                    },
                    {
                        name: '大连',
                        value: 80
                    },
                    {
                        name: '南宁',
                        value: 70
                    },
                    {
                        name: '南昌',
                        value: 60
                    },
                    {
                        name: '拉萨',
                        value: 50
                    },
                    {
                        name: '长春',
                        value: 40
                    },
                    {
                        name: '包头',
                        value: 30
                    },
                    {
                        name: '重庆',
                        value: 20
                    },
                    {
                        name: '常州',
                        value: 10
                    }
                ];
                geoCoordMap['淮北供电公司'] = [116.8549110000, 33.9014640000];
                var GZData = [];
                var tempData = ['淮北供电公司', GZData];
                dataT.map((item, index) => {
                    var arr = [];
                    arr.push(item)
                    arr.push({
                        name: '淮北供电公司'
                    })
                    GZData.push(arr)
                })
                var convertData = function(data) {
                    var res = [];
                    for (var i = 0; i < data.length; i++) {
                        var dataItem = data[i];
                        var fromCoord = geoCoordMap[dataItem[0].name];
                        var toCoord = geoCoordMap[dataItem[1].name];
                        if (fromCoord && toCoord) {
                            res.push({
                                fromName: dataItem[0].name,
                                toName: dataItem[1].name,
                                coords: [fromCoord, toCoord],
                                value: dataItem[0].value
                            });
                        }
                    }
                    return res;
                };
                var color = ['#00ff78', '#ff971b', '#acff43', '#ff73b7', '#ffff46', '#27bbfe'];
                var series = [{
                    type: 'map',
                    map: 'china',
                    //    width: '100%',
                    geoIndex: 1,
                    zlevel: 1,
                    //    aspectScale: 0.75, //长宽比
                    showLegendSymbol: false, // 存在legend时显示
                    label: {
                        normal: {
                            show: false,
                        },
                        emphasis: {
                            show: false,
                            textStyle: {
                                color: '#fff'
                            }
                        }
                    },
                    roam: false,
                    itemStyle: {
                        normal: {
                            areaColor: 'rgba(128, 128, 128, 0)',
                            borderColor: '#49a7d5', //省市边界线00fcff 516a89

                        },
                        emphasis: {
                            areaColor: 'rgba(128, 128, 128, 0)',
                        }
                    },
                    data: [{
                        name: '南海诸岛',
                        value: 0,
                        itemStyle: {
                            normal: {
                                opacity: 0,
                                label: {
                                    show: false
                                }
                            }
                        }
                    }]
                }, ];
                series.push({
                    name: tempData[0],
                    type: 'lines',
                    zlevel: 3,
                    symbol: ['none', 'circle'], 
                    effect: {
                        show: true,
                        period: 3, //箭头指向速度，值越小速度越快
                        trailLength: 0.01, //特效尾迹长度[0,1]值越大，尾迹越长重
                        symbolSize: 4, //图标大小
                    },
                    lineStyle: {
                        normal: {
                            opacity: 1,
                            curveness: 0.4, //曲线的弯曲程度
                            color: '#609fd4'
                        }
                    },
                    data: convertData(tempData[1])
                }, {
                    name: tempData[0],
                    type: 'scatter',
                    coordinateSystem: 'geo',
                    zlevel: 2,
                    rippleEffect: {
                        brushType: 'stroke'
                    },
                    label: {
                        normal: {
                            show: true,
                            position: 'right',
                            formatter: '{b}',

                        }
                    },
                    symbolSize: function (val) {
                        // console.log(val)
                        return val[2]/2;
                    },
                    itemStyle: {
                        normal: {
                            //                fontSize: 80,
                        }
                    },
                    data: tempData[1].map(function(dataItem) {
                        return {
                            name: dataItem[0].name,
                            value: geoCoordMap[dataItem[0].name].concat([dataItem[0].value])
                        };
                    })
                }, {
                    type: 'effectScatter',
                    coordinateSystem: 'geo',
                    zlevel: 4,
                    symbolSize: 30,
                    label: {
                        normal: {
                            show: true,
                            position: 'right',
                            formatter: '{b}',

                            color: 'white'
                        }
                    },
                    itemStyle: {
                        normal: {
                            color: 'white'
                        }
                    },
                    rippleEffect: {
                        scale: 4,
                        brushType: 'stroke'
                    },
                    data: [{
                        name: tempData[0],
                        value: geoCoordMap[tempData[0]],
                        visualMap: false
                    }],
                }, {
                    type: 'scatter',
                    coordinateSystem: 'geo',
                    zlevel: 4,
                    symbolSize: 20,
                    symbol: 'pin',
                    itemStyle: {
                        normal: {
                            color: 'white',
                        }
                    },
                    rippleEffect: {
                        //        brushType: 'stroke'
                    },
                    data: [{
                        name: tempData[0],
                        value: geoCoordMap[tempData[0]],
                        visualMap: false
                    }],
                });

                let option = {
                    tooltip: {
                        trigger: 'item',
                        formatter: function(params) {
                            if (params.seriesType == "scatter" && params.name != tempData[0]) {
                                return "<br>" + params.seriesName + " ---> " + params.data.name + "<br />数量：" + params.data.value[2];
                            } else if (params.seriesType == "lines") {
                                return "<br>" + params.data.fromName + " ---> " + params.data.toName + "<br />数量：" + params.data.value;
                            } else {
                                return params.name;
                            }
                        }
                    },
                    visualMap: {
                        min: 0,
                        max: 100,
                        calculable: true,
                        color: color,
                        //            textStyle: {
                        //                color: '#fff',
                        //            },
                        show: false
                    },
                    geo: {
                        map: 'china',
                        zoom: 0.98,
                        zlevel: 2,
                        label: {
                            emphasis: {
                                show: false
                            },
                        },
                        roam: false, //是否允许缩放
                        itemStyle: {
                            normal: {
                                areaColor: '#214278',
                                borderColor: '#195BB9', //省市边界线00fcff 516a89

                            },
                            emphasis: {
                                color: '#112246' //悬浮背景
                            }
                        },
                    },
                    series: series
                };
            /** 初始化图表 */
            EchartContainerRef.value.initData(option);
        });
        return { 
            dataContainer,
            EchartContainerRef,
        };
    },
});
</script>

<template>
    <div class="box-cp-container">
        <EchartContainer
            ref="EchartContainerRef"></EchartContainer>
    </div>
</template>

<style lang="scss" scoped>
.box-cp-container{
    width: 100%;
    height: 100%;
}
</style>
